Serrano, B.; Florio, M. A.; Minner, S.; Schiffer, M.; Vidal, T.
Contextual Stochastic Vehicle Routing with Time Windows
2024

Enders, T.; Harrison, J.; Pavone, M.; Schiffer, M.
Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts
2024

Hoppe, H.; Enders, T.; Cappart, Q.; Schiffer, M.
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
2023

Jungel, K.; Parmentier, A.; Schiffer, M.; Vidal, T.
Learning-Based Online Optimization for Autonomous Mobility-on-Demand Fleet Control
2023

Baty, L.; Jungel, K.; Klein, P.S.; Parmentier, A.; Schiffer, M.
Combinatorial Optimization Enriched Machine Learning to Solve the Dynamic Vehicle Routing Problem with Time Windows
2023

Rautenstrauß, M.; Schiffer, M.
Ambulance Demand Prediction via Convolutional Neural Networks
2023

Lienkamp, B.; Hewitt, M.; Schiffer, M,
Branch-and-Price for the Stochastic Traveling Salesman Problem with Generalized Latency
2023

Luy, J.; Hiermann, G.; Schiffer, M.
Strategic Workforce Planning in Crowdsourced Delivery with Hybrid Driver Fleets
2023

Thomä, S.; Walther, G.; Schiffer, M.
Designing Tractable Piecewise Affine Policies for Multi-Stage Adjustable Robust Optimization
2022

Santana, Í.; Serrano, B.; Schiffer, M.; Vidal, T.
Support Vector Machines with the Hard-Margin Loss: Optimal Training via Combinatorial Benders' Cuts
2022